Cronbach's Alpha Internal Consistency Calculator

Calculate Cronbach's alpha α = (k/(k−1)) × (1 – ∑σᵢ² / σᵀ²) from item variances and total score variance. Measures internal consistency of a multi-item scale. Accepted threshold α ≥ 0.70 for research; ≥ 0.90 for clinical use.

Data set — comma or newline separated
Statistical Results — n = 8
Count (n)8
Sum (Σx)40
Min2
Max9
Range7
Q14
Q35.5
IQR1.5
Mean (μ)5
Median4.5
Mode4
Pop. Variance (σ²)4
Pop. Std Dev (σ)2
Sample Variance (s²)4.571428571
Sample Std Dev (s)2.138089935
Skewness0.65625
Excess Kurtosis-0.21875
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How It Works

Calculate Cronbach's alpha α = (k/(k−1)) × (1 – ∑σᵢ² / σᵀ²) from item variances and total score variance. Measures internal consistency of a multi-item scale. Accepted threshold α ≥ 0.70 for research; ≥ 0.90 for clinical use

Each component has a specific meaning:

  • Item variances — The item variances recorded for the scenario being assessed.

Note: Interpret the cronbach's α result against the thresholds and context described above.

How to Use

Enter the item variances for the scenario you are assessing. Calculate Cronbach's alpha α = (k/(k−1)) × (1 – ∑σᵢ² / σᵀ²) from item variances and total score variance. Measures internal consistency of a multi-item scale. Accepted threshold α ≥ 0.70 for research; ≥ 0.90 for clinical use. Use the cronbach's α result to inform your calculation.

Frequently Asked Questions